Amazon Systems Engineer AI/ML 

United Kingdom, England, London 

604033803

Top reasons to join our team:
• Be a catalyst to deliver truly disruptive products that are growing rapidly
• Define, build, own, and run services in high-growth environments
• Solve unique and first-order problems in rapidly evolving AWS services such as SageMaker, Bedrock and Amazon Q
• Learn how to build and operate distributed systems at scale
• Build and influence the tools and utilities that are part of the AWS fleet running our internal servicesKey job responsibilities
Our Systems Engineers spend time:
• Operating the world's most advanced cloud computing infrastructure
• Simplifying and reinventing systems, processes, and tools to make things better for our customers and our builders
• Building unique solutions to our customers’ technical problems
• Studying and learning from industry recognised Amazon Senior and Principal Engineers
• Coaching, hiring and developing team membersA day in the life
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- Advanced knowledge in system administration (Linux and/or Windows)
- Experience of systems automation using (Bash, Python, Perl, PowerShell, Batch)
- Practical understanding of network fundamentals (DNS, DHCP, TCP/IP, routing, switching, HTTP)
- Good troubleshooting skills at all levels, from application to network to host

- Understanding of cloud computing concepts and design considerations
- Knowledge of configuration management systems, such as Puppet, Chef, Ansible, DSC, or related systems
- Experience with performance testing and optimisation in a 24x7 production environment
- Experience using monitoring platforms, such as CloudWatch, Datadog, Grafana, Elastic or similar